Senior Product Manager - Data & AI in Clinical Trials

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C-Level / ManagerFull-time
#444116·Dodano 2 dni temu·0
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Tech Stack / Keywords

Product Managementdata product managementClinical OperationsClinical data managementCDISCdata governance

Firma i stanowisko

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. The team focuses on delivering data and AI solutions within life sciences, particularly in clinical trials, leveraging over thirty years of expertise in custom software, product, and platform engineering to help clients become AI-native enterprises.

Wymagania

  • 10+ years in data, analytics, or AI domains
  • 5+ years in Life Sciences, Pharma, or CRO environments with clinical trial data experience
  • Familiarity with clinical data standards (e.g., CDISC) and platforms (EDC, CTMS)
  • Knowledge of clinical trial regulatory frameworks (ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA)
  • Experience managing enterprise data and AI products across full lifecycle
  • Ability to facilitate executive strategy discussions and measure product adoption
  • Experience with Cloud Data Platforms, BI/Reporting, Predictive Analytics, Generative AI
  • Strong communication and presentation skills
  • Proven track record leading teams of 10+ professionals
  • Passion for Data & AI and continuous learning mindset

Obowiązki

  • Manage and coordinate consulting engagements end-to-end, ensuring delivery quality and client satisfaction
  • Engage with stakeholders across clinical development and data science to identify analytics opportunities
  • Define success metrics and track value realization and adoption
  • Map stakeholder requirements to data products and analytics solutions across clinical trial domains
  • Oversee implementation of analytical solutions including site and patient lifecycle analytics, risk-based monitoring, and clinical trial phases
  • Drive discussions on data quality, governance, and standardization including CDISC-aligned data models
  • Collaborate with data engineering and architecture teams on modern cloud data platforms and clinical data standards
  • Participate in team staffing and talent selection decisions
  • Partner with account managers to build and maintain customer relationships
  • Support business development in pre-sales, proposals, and client presentations

Benefity

  • Hybrid work mode with the opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
  • Career development programs, mentoring, and certification support (Anthropic, Gemini, GCP, Azure, AWS)
  • English language classes
  • Stable pay with Employee Stock Purchase Plan (15% discount)
  • Benefits package including health insurance, multisport, and shopping vouchers
  • Referral bonuses up to $2,000
  • Office amenities including relaxation zones, table tennis, football, free snacks, and coffee
  • Corporate, social, and well-being events
  • B2B cooperation agreements possible on individual terms
Elastyczne godziny
Pakiet relokacyjny
Szkolenia wewnętrzne
Budżet konferencyjny
Dofinansowanie szkoleń
Kursy językowe
Karta sportowa
Opieka zdrowotna
Premie
Darmowe przekąski

Inne informacje

By applying, candidates agree to personal data processing by EPAM Systems (Poland) sp. z o.o. for recruitment purposes in accordance with the company's Privacy Policy. Benefits listed are available only to employees. The company will contact selected candidates exclusively. Contractors can be considered under individually agreed B2B terms.

EPAM Systems

EPAM Systems

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